Caterpillar (CAT) Total Liabilities (2009 - 2026)
Caterpillar (CAT) recorded Total Liabilities of $83.22 billion in Q2 2026, up 16.1% from $71.66 billion a year earlier and up 8.2% from the prior quarter.
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Analysis
Caterpillar (CAT) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Caterpillar reported Total Liabilities of $77.27 billion, up 13.2% from FY2024.
- Annual Total Liabilities has increased for three straight years, with a five-year compound annual growth rate of 4.2% (FY2020 to FY2025).
- Across earlier years, Total Liabilities came in at $68.27 billion in FY2024 (+0.4%), $67.97 billion in FY2023 (+2.9%), $66.05 billion in FY2022 (-0.3%) and $66.28 billion in FY2021 (+5.3%).
- The Q2 2026 figure is the highest quarterly Total Liabilities in data going back to Q2 2009.
- On a year-over-year basis, Total Liabilities has increased for eight consecutive quarters, with growth averaging 8.0% over the last eight quarters.
- Peak year-over-year performance for Total Liabilities in the last five years was growth of 16.1% in Q2 2026, against a decline of 1.4% in Q2 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $76.89 billion (Q1 2026), $77.27 billion (Q4 2025) and $73.06 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 351.84 Bn | 323.53 Bn | 7.76 Bn | 83.22 Bn |
| 2 | Amphenol | 209.14 Bn | 203.72 Bn | 3.55 Bn | 29.19 Bn |
| 3 | Deere | 173.99 Bn | 142.08 Bn | 4.66 Bn | 79.61 Bn |
| 4 | Eaton | 165.20 Bn | 162.39 Bn | 2.86 Bn | 35.88 Bn |
| 5 | Parker-Hannifin | 120.55 Bn | 118.67 Bn | 2.25 Bn | 15.46 Bn |
| 6 | Emerson Electric | 90.75 Bn | 83.49 Bn | 2.66 Bn | 21.81 Bn |
| 7 | Vertiv Holdings | 90.61 Bn | 81.23 Bn | 1.23 Bn | 11.14 Bn |
| 8 | 3M | 83.78 Bn | 65.18 Bn | 2.68 Bn | 31.92 Bn |
| 9 | Illinois Tool Works | 75.74 Bn | 72.30 Bn | 1.90 Bn | 13.60 Bn |
| 10 | Cummins | 72.28 Bn | 68.36 Bn | 2.47 Bn | 21.72 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 83.22 Bn |
| Mar 31, 2026 | 76.89 Bn |
| Dec 31, 2025 | 77.27 Bn |
| Sep 30, 2025 | 73.06 Bn |
| Jun 30, 2025 | 71.66 Bn |
| Mar 31, 2025 | 66.90 Bn |
| Dec 31, 2024 | 68.27 Bn |
| Sep 30, 2024 | 66.87 Bn |
| Jun 30, 2024 | 66.20 Bn |
| Mar 31, 2024 | 66.10 Bn |
| Dec 31, 2023 | 67.97 Bn |
| Sep 30, 2023 | 66.28 Bn |
| Jun 30, 2023 | 67.17 Bn |
| Mar 31, 2023 | 65.48 Bn |
| Dec 31, 2022 | 66.05 Bn |
| Sep 30, 2022 | 65.29 Bn |
| Jun 30, 2022 | 65.35 Bn |
| Mar 31, 2022 | 65.18 Bn |
| Dec 31, 2021 | 66.28 Bn |
| Sep 30, 2021 | 64.09 Bn |
API Access
Caterpillar Total Liabilities API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=total-liabilities&ticker=CAT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "CAT", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=total-liabilities&ticker=CAT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();